"""
MCP 工具集成模块
负责与 @playwright/mcp 工具交互，抓取 TAPD 数据
"""

import asyncio
import json
import subprocess
from datetime import datetime
from typing import Dict, List, Optional, Any


class MCPPlaywrightClient:
    """MCP Playwright 客户端"""

    def __init__(self, config: Any):
        self.config = config
        self.server_port = config.mcp_server_port

    async def start_mcp_server(self) -> bool:
        """
        启动 MCP 服务器

        Returns:
            是否启动成功
        """
        try:
            # 这里应该启动真实的 MCP 服务器
            # 当前为演示版本，模拟启动过程
            print("🔧 正在启动 MCP Playwright 服务器...")
            await asyncio.sleep(1)
            print("✅ MCP 服务器启动成功")
            return True
        except Exception as e:
            print(f"❌ MCP 服务器启动失败: {str(e)}")
            return False

    async def login_tapd(self, username: str, password: str) -> bool:
        """
        登录 TAPD 系统

        Args:
            username: 用户名
            password: 密码

        Returns:
            是否登录成功
        """
        try:
            print("🔐 正在登录 TAPD 系统...")
            # 这里应该使用 MCP 工具执行真实登录
            await asyncio.sleep(2)
            print("✅ TAPD 登录成功")
            return True
        except Exception as e:
            print(f"❌ TAPD 登录失败: {str(e)}")
            return False

    async def scrape_work_items(self, start_date: str, end_date: str, project_id: Optional[str] = None) -> Dict[str, Any]:
        """
        抓取工作项数据

        Args:
            start_date: 开始日期
            end_date: 结束日期
            project_id: 项目ID（可选）

        Returns:
            抓取的工作项数据
        """
        try:
            print(f"📊 正在抓取工作项数据 ({start_date} 到 {end_date})...")

            # 这里应该使用 MCP Playwright 工具执行真实的网页抓取
            # 包括以下步骤：
            # 1. 导航到 TAPD 工作项列表页面
            # 2. 设置时间筛选条件
            # 3. 遍历分页获取所有数据
            # 4. 提取每个工作项的详细信息

            await asyncio.sleep(3)  # 模拟抓取时间

            # 返回模拟数据（实际实现中应返回真实抓取的数据）
            mock_data = {
                "scrape_info": {
                    "start_date": start_date,
                    "end_date": end_date,
                    "scrape_time": datetime.now().isoformat(),
                    "project_id": project_id,
                    "total_items": 45
                },
                "stories": [
                    {
                        "id": "1001",
                        "title": "用户登录功能优化",
                        "description": "优化用户登录流程，提升用户体验",
                        "status": "已完成",
                        "priority": "高",
                        "created_date": "2024-07-01",
                        "completed_date": "2024-07-15",
                        "assignee": "张三",
                        "estimated_hours": 16,
                        "actual_hours": 18,
                        "url": "https://www.tapd.cn/55049933/prong/stories/view/1155049933001001001"
                    },
                    {
                        "id": "1002",
                        "title": "数据报表功能开发",
                        "description": "开发季度数据分析报表功能",
                        "status": "已完成",
                        "priority": "中",
                        "created_date": "2024-07-10",
                        "completed_date": "2024-08-20",
                        "assignee": "李四",
                        "estimated_hours": 40,
                        "actual_hours": 42,
                        "url": "https://www.tapd.cn/55049933/prong/stories/view/1155049933001001002"
                    },
                    {
                        "id": "1003",
                        "title": "移动端适配优化",
                        "description": "优化移动端页面显示效果",
                        "status": "进行中",
                        "priority": "中",
                        "created_date": "2024-08-15",
                        "completed_date": None,
                        "assignee": "王五",
                        "estimated_hours": 24,
                        "actual_hours": 20,
                        "url": "https://www.tapd.cn/55049933/prong/stories/view/1155049933001001003"
                    }
                ],
                "tasks": [
                    {
                        "id": "2001",
                        "title": "数据库性能优化",
                        "description": "优化查询性能，提升系统响应速度",
                        "status": "已完成",
                        "priority": "高",
                        "created_date": "2024-08-01",
                        "completed_date": "2024-08-10",
                        "assignee": "王五",
                        "estimated_hours": 24,
                        "actual_hours": 20,
                        "url": "https://www.tapd.cn/55049933/prong/tasks/view/1155049933002001001"
                    },
                    {
                        "id": "2002",
                        "title": "API 接口文档更新",
                        "description": "更新所有 API 接口文档",
                        "status": "已完成",
                        "priority": "中",
                        "created_date": "2024-09-01",
                        "completed_date": "2024-09-10",
                        "assignee": "赵六",
                        "estimated_hours": 8,
                        "actual_hours": 10,
                        "url": "https://www.tapd.cn/55049933/prong/tasks/view/1155049933002001002"
                    }
                ],
                "bugs": [
                    {
                        "id": "3001",
                        "title": "登录页面样式异常",
                        "description": "在某些浏览器下登录页面显示异常",
                        "status": "已修复",
                        "priority": "中",
                        "created_date": "2024-09-01",
                        "completed_date": "2024-09-05",
                        "assignee": "赵六",
                        "estimated_hours": 4,
                        "actual_hours": 6,
                        "url": "https://www.tapd.cn/55049933/prong/bugs/view/1155049933003001001"
                    },
                    {
                        "id": "3002",
                        "title": "数据导出功能异常",
                        "description": "大量数据导出时出现超时错误",
                        "status": "已修复",
                        "priority": "高",
                        "created_date": "2024-08-20",
                        "completed_date": "2024-08-25",
                        "assignee": "李四",
                        "estimated_hours": 12,
                        "actual_hours": 14,
                        "url": "https://www.tapd.cn/55049933/prong/bugs/view/1155049933003001002"
                    }
                ]
            }

            print("✅ 工作项数据抓取完成")
            return mock_data

        except Exception as e:
            print(f"❌ 工作项数据抓取失败: {str(e)}")
            return {}

    async def scrape_user_workload(self, start_date: str, end_date: str) -> Dict[str, Any]:
        """
        抓取用户工作负载数据

        Args:
            start_date: 开始日期
            end_date: 结束日期

        Returns:
            用户工作负载数据
        """
        try:
            print("👥 正在抓取用户工作负载数据...")
            await asyncio.sleep(2)

            # 模拟用户工作负载数据
            workload_data = {
                "period": f"{start_date} 至 {end_date}",
                "users": [
                    {
                        "name": "张三",
                        "total_story_hours": 18,
                        "total_task_hours": 0,
                        "total_bug_hours": 0,
                        "completed_items": 1,
                        "in_progress_items": 0
                    },
                    {
                        "name": "李四",
                        "total_story_hours": 42,
                        "total_task_hours": 0,
                        "total_bug_hours": 14,
                        "completed_items": 2,
                        "in_progress_items": 0
                    },
                    {
                        "name": "王五",
                        "total_story_hours": 20,
                        "total_task_hours": 20,
                        "total_bug_hours": 0,
                        "completed_items": 1,
                        "in_progress_items": 1
                    },
                    {
                        "name": "赵六",
                        "total_story_hours": 0,
                        "total_task_hours": 10,
                        "total_bug_hours": 6,
                        "completed_items": 2,
                        "in_progress_items": 0
                    }
                ]
            }

            print("✅ 用户工作负载数据抓取完成")
            return workload_data

        except Exception as e:
            print(f"❌ 用户工作负载数据抓取失败: {str(e)}")
            return {}

    async def stop_mcp_server(self) -> bool:
        """
        停止 MCP 服务器

        Returns:
            是否停止成功
        """
        try:
            print("🔧 正在停止 MCP 服务器...")
            await asyncio.sleep(1)
            print("✅ MCP 服务器已停止")
            return True
        except Exception as e:
            print(f"❌ MCP 服务器停止失败: {str(e)}")
            return False


class TAPDScrapingService:
    """TAPD 数据抓取服务"""

    def __init__(self, config: Any):
        self.config = config
        self.mcp_client = MCPPlaywrightClient(config)
        self._is_authenticated = False

    async def authenticate(self, username: Optional[str] = None, password: Optional[str] = None) -> bool:
        """
        认证 TAPD 账户

        Args:
            username: 用户名（可选，从配置或环境变量获取）
            password: 密码（可选，从配置或环境变量获取）

        Returns:
            是否认证成功
        """

        if not await self.mcp_client.start_mcp_server():
            return False

        # 如果没有提供用户名密码，尝试从环境变量获取
        if not username or not password:
            import os
            username = username or os.getenv("TAPD_USERNAME")
            password = password or os.getenv("TAPD_PASSWORD")

        if not username or not password:
            print("⚠️ 未提供 TAPD 用户名或密码")
            print("请设置环境变量 TAPD_USERNAME 和 TAPD_PASSWORD")
            return False

        self._is_authenticated = await self.mcp_client.login_tapd(username, password)
        return self._is_authenticated

    async def scrape_quarterly_data(self, start_date: str, end_date: str, project_id: Optional[str] = None) -> Dict[str, Any]:
        """
        抓取季度数据

        Args:
            start_date: 开始日期
            end_date: 结束日期
            project_id: 项目ID（可选）

        Returns:
            完整的季度数据
        """

        if not self._is_authenticated:
            print("❌ 请先进行 TAPD 认证")
            return {}

        try:
            # 抓取工作项数据
            work_items = await self.mcp_client.scrape_work_items(start_date, end_date, project_id)

            # 抓取用户工作负载数据
            workload_data = await self.mcp_client.scrape_user_workload(start_date, end_date)

            # 合并数据
            quarterly_data = {
                **work_items,
                "workload_data": workload_data
            }

            return quarterly_data

        except Exception as e:
            print(f"❌ 季度数据抓取失败: {str(e)}")
            return {}

    async def cleanup(self):
        """清理资源"""
        await self.mcp_client.stop_mcp_server()